MMCP Server Finder

AnomalyArmor

AnomalyArmor is an MCP server that helps AI assistants data observability tools for engineering teams: alerts, freshness, schema drift, lineage, quality.

Key facts

GitHub stars
1
Forks
0
License
MIT
Last commit
May 30, 2026
Best for
connecting AI assistants to external tools
Supported clients
Last updated
Jun 12, 2026

GitHub metrics

Stars
1
Forks
0
Open issues
0
Watchers
0
Last commit
May 30, 2026

Scores

GEO score

36/100

Weighted blend: popularity 35%, freshness 25%, growth 25%, maintenance 15%.

Popularity4/100
Freshness80/100
Growth (7d)0/100

Needs ~7 days of metric history

Maintenance100/100

Scores last calculated Jun 12, 2026.

What is AnomalyArmor?

AnomalyArmor is an MCP server that helps AI assistants data observability tools for engineering teams: alerts, freshness, schema drift, lineage, quality. It belongs to the Monitoring & Observability category. It is distributed under the MIT license.

How to install AnomalyArmor

Install and run AnomalyArmor with the following command, then add it to your MCP client configuration:

uvx armor-mcp

AnomalyArmor use cases

A general-purpose MCP server.

Safety notes

Overall risk level:High(score 75/100)
Requires API token
Yes
Writes to external systems
Yes
Accesses local filesystem
Yes
Connects to a database
Unknown
Security docs
Yes

Inferred by rule from each server's metadata, README, and category. "Unknown" means the signal could not be determined — always verify against the official docs before granting access.

Data sources

FieldValueSourceConfidence
Forks0GitHub REST APIhigh
Last commitMay 30, 2026GitHub REST APIhigh
LicenseMITGitHub REST APIhigh
Stars1GitHub REST APIhigh
Watchers0GitHub REST APIhigh
Has Authentication DocsYesRepository READMEmedium
Has Security DocsYesRepository READMEmedium
Risk levelHighAutomated risk inferencemedium
Accesses FilesystemYesAutomated risk inferencelow
Requires Api TokenYesAutomated risk inferencelow
Uses Network AccessYesAutomated risk inferencelow
Writes External SystemYesAutomated risk inferencelow

Confidence reflects the source: high = GitHub REST API, medium = README-derived or synthesized, low = inferred from keywords. Fields that cannot be determined are shown as "Unknown" — never fabricated.

Recent changes

  • Stars: 0 → 1
  • License set to MIT
  • Last commit set to May 30, 2026

See full changelog →

AnomalyArmor alternatives

  • Grafana MCP3.1K · Apache-2.0 · Jun 12, 2026

    Another Monitoring & Observability MCP server with similar use cases.

  • Sentry MCP725 · MIT · Jun 12, 2026

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  • Auth0 MCP Server108 · MIT · Jun 11, 2026

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  • mcp12 · MIT · Jun 9, 2026

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  • a2adependencyinspector-mcp0 · MIT · May 20, 2026

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  • a2areplayreceipt-mcp0 · MIT · May 20, 2026

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See all AnomalyArmor alternatives →

AnomalyArmor vs related MCP servers

ServerStarsForksLicenseLast commit
AnomalyArmor10MITMay 30, 2026
Grafana MCP3.1K378Apache-2.0Jun 12, 2026
Sentry MCP725115MITJun 12, 2026
Auth0 MCP Server10840MITJun 11, 2026

Frequently asked questions

What is AnomalyArmor?

AnomalyArmor is an MCP server that helps AI assistants data observability tools for engineering teams: alerts, freshness, schema drift, lineage, quality. It is categorized under Monitoring & Observability.

How do I install AnomalyArmor?

Install and run AnomalyArmor with: uvx armor-mcp. Then add it to your MCP client configuration.

What are good alternatives to AnomalyArmor?

Popular alternatives include Grafana MCP, Sentry MCP, Auth0 MCP Server, and mcp.

How popular is AnomalyArmor on GitHub?

AnomalyArmor has about 1 GitHub stars and 0 forks.

Last updated